Financial Mechanics, an emerging hedge fund manager located near San Francisco, utilizes complex mathematical algorithms designed to identify securities trading opportunities. Its computer-based trading system is derived from the life sciences and is capable of continuously analyzing and forecasting short-term price movements for a large population of financial products, including equities, currencies and commodities. The company will launch its first fund this month.

Interactive Data's PlusFeed, a low latency consolidated real-time digital datafeed, will provide data for U.S. domestic equities, futures and commodities markets to support Financial Mechanics' automated trading strategies. PlusFeed will also deliver real-time spot and forward FX rates for currencies provided through Interactive Data's GTIS Service. GTIS is a premium service with global over-the-counter prices contributed by leading market players in the foreign exchange, precious metals, energy, money and fixed income markets.

Financial Mechanics has also selected Interactive Data's historical intra-day tick and end-of-day data for back testing its trading strategies.

"PlusFeed's speed of data delivery and broad range of financial content make it a compelling choice for our business, and the service will play a critical role in the implementation of our proprietary trading models," said Keith Cich, president of Financial Mechanics. "In addition, Interactive Data's ability to supplement its real-time content with extensive complementary information, including historical intra-day tick and end-of-day data, was another key factor as it can help enable us to thoroughly back test our trading strategies."

"We are very pleased to be working with Financial Mechanics to help them execute on their trading strategies and business plan," said Mark Hepsworth, president of Interactive Data Real-Time Services. "Our investments to enhance PlusFeed and our data distribution network in recent years hav have helped make Interactive Data a premier option for companies seeking to use global, low latency data to power their financial applications."